Luke Ward (@Luke__Ward) header
Luke Ward (@Luke__Ward) profile picture

Translational human genetics, computational genomics, 🏳️‍🌈, @UVA, @Columbia_Bio, @MIT_CSAIL. Views expressed are my own and not of my employer (@Alnylam)

Cambridge, MA
Joined March 2009
Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)Photo by Luke Ward (@Luke__Ward)
I'm sorry, but all you have to do is Google something you have real expertise in to know "AI Overview" is total horseshit
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AI for bio teams in academia & industry have been playing "offense" pumping out billion parameter models every other week that are worth less than a paper weight. How can anyone claim that the field needs "more offense" & less "rigor", when it requires literally the opposite?!?
This applies to academic labs too — maybe more than anywhere. Defense in academia looks like rigor: protect your niche, optimize your pipeline, wait for the field to settle. It isn't rigor. It's just slower irrelevance. The labs that matter in five years aren't asking "how do we use AI to do our old experiments faster." They're asking "what questions are now askable that weren't before?" That's the offensive posture. And academics have something founders don't — the freedom to chase questions with no obvious payoff. That's an enormous edge, if you use it.
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Regeneron's 23andMe buyout is the best possible outcome. A Big Pharma would just bobble it, then watch it die. REGN is far more purposeful and directed. They get it cheap, keep their eyes on the ball and manage things. I like it. endpts.com/why-regeneron-is-…
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Luke Ward retweeted
Every so often I relive the unsettling realization that ~8% of my genome is basically ancient viruses. Like you have less DNA coding for your own proteins (1-2% of the genome) than you have DNA of some virus from forever ago. You are basically mostly a virus.
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Nope! These are all Chinese participants of the Kadoorie biobank, color-coded by the cities they were recruited from. Ancestry inference can be extremely sensitive with enough data. (pubmed.ncbi.nlm.nih.gov/3760…)
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Luke Ward retweeted
everyone needs to read this from @jsomers jsomers.net/i-should-have-lo…
Peter Thiel said that the lack of progress in biology is partially due to a lack of talent. I think this makes sense. Something about biology's non-technical nature + people's inability to tinker w/biology outside of a lab/PhD make the smartest people select other fields.
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OH MY FUCKING GOD. YOUR ENTIRE BUSINESS RUNS ON MASSIVE AMOUNTS OF UNPAID LABOUR YOU HYPOCRITICAL SHITGIBBONS.
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TIL when you sort the codon wheel by the second base the quadrants align with the properties of the amino acids being coded for and also it looks like the mystic sigil of the coven of the four bases journals.asm.org/doi/pdf/10.…
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just one more striped hyena block bro, I promise. DNA is all you need dog, trust me. the only thing we're missing is ring attention, I swear. once we have the context length to capture long-range interactions we'll solve mammalian genome modeling. yeah yeah I know the human genome is 45% retrotransposons and there were those recent genome scrambling results but I think if we just scale up compute a bit more and finally train the model chinchilla optimal—what? you want to curate pretraining data using gnomad conservation z-scores? are you not scaling-pilled bro?! incoherent mumbling... just need... one more... mammalian clade... I promise the marsupial reference genomes will unlock everything...
Replying to @JonasKoeppel
The major way through which SVs affected gene expression was through copy number changes. Reshuffling the relative location of genes through inversions or translocations did not influence their expression. Expression of genes nearby the SVs was rarely affected.
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in Germany you have to read out the model weights every time you use an LLM
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Agreed! That's why I wrote ggpubfigs, a ggplot2 extension that *only colorblind-friendly color palettes. Easily make your figures colorblind-friendly with ggpubfigs! teapawt.net/NKWhiteman/status/1852…
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Statistics is hard enough for most people as it is; please stop using the phrases "type I" and "type II" errors. Unless, of course, your goal is to confuse people - in which case, congrats - you've succeeded! Just say "false positive" and "false negative" instead.
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My quest to find the most boring WikiCrow page is off to a good start. Meet uncharacterized protein C17orf50. Terrible AlphaFold 2 structure. Not much is known about it, so not much material for PaperQA2 to work with. wikicrow.ai/C17orf50
We’ve just finished writing the missing 15,616 Wikipedia articles to get complete coverage of all 19,255 human genes. We used PaperQA2, which has higher accuracy than existing human-written Wikipedia articles, as judged by blinded biology PhD students and postdocs. 1/5
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For all its flaws, I would argue the biotech industry is still *the* single best place to work today with a tech background 1- Intellectually, you get to work on some of the hardest problems of our time and they won’t be solved anytime soon. 2- The field is undergoing a fundamental shift from qualitative to quantitative. Today, you get to pioneer a direction that will be the future of biomedicine. 3- It is immensely fulfilling to know that your work contributes to addressing the many still grave unmet health needs. You literally get to work on ensuring your friends and family live longer and healthier. 4- There is almost infinite potential for learning and growth - and every slice of the drug discovery pipeline has incredible depth of existing knowledge. If you are keen to learn, there is always another area you haven’t learnt about yet. Sure, the business side of it can be unpredictable and its likely you would be compensated more working on ad optimization or image generation apps - but I don’t know anyone that is excited about the above that would even consider that an alternative.
Why is biotech such a sad industry? They make medicine, it output feels 10x more important than automation and info-plumbing (aka the tech industry) and requires deeper knowledge/training -- and yet, low salaries, perpetual layoffs, very few founder CEOs, bad vibes all around.
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I wrote about the paucity of genetic evidence for very recent selective sweeps and the generally odd and sporadic nature of the ones we do see. A 🧵:
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New manuscript "Addressing the credibility crisis in Mendelian randomization" is out at @BMCMedicine: bmcmedicine.biomedcentral.co…. We discuss the explosion in MR studies, and what can be done by authors and editors/reviewers to improve the quality of published MR research. Thread:
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The Li + Durbin 2011 paper showing that you can infer an entire population history from just a single genome is still one of the most mind-blowing results in genetics I have ever seen. nature.com/articles/nature10…
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Does astrology work? We tested the ability of 152 astrologers to see if they could demonstrate genuine astrological skill. Here is how the study was designed and what we found (including a result that really surprised me): 🧵
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big fail by the @washingtonpost, pushing acupuncture nonsense (not for the first time). Here's my take on it, at @forbes forbes.com/sites/stevensalzb…
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